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A new image-based method improves accuracy in measuring hair loss in mice.

This study describes a new method using ImageJ to quantitatively assess hair loss in mice with alopecia areata, offering a more precise and reproducible alternative to traditional visual scoring systems by employing image-based analysis techniques.

This study presents a new hair removal algorithm for dermatoscopic images of skin lesions that improves hair detection accuracy by 2–7% and hair repair accuracy by 2–5% on average, using advanced techniques like maximum variance fuzzy clustering, Criminisi priorities, and the ant colony algorithm.

This study found that metabolite levels in hair samples differ significantly by hair color and segment, leading to recommendations for best practices in hair metabolomic studies.

In this study, the proposed MSF-VMDNet, combining dual encoder networks with a multi-frequency domain mechanism, significantly outperformed existing methods in segmenting skin cancer tissues from histological slide images, achieving high accuracy with an MIoU of 95.37% and a Dice coefficient of 95.11%.

This study found that new methods for isolating human dermal papilla cells were more efficient than traditional methods, maintaining higher levels of specific markers and improving the cells' research potential.

This study introduced a novel, weakly supervised method for segmenting hair in Scanning Electron Microscope images using simple image-level annotations, achieving over 30% improvement in mean Hausdorff Distance compared to Unet and SAM, while enhancing interpretability and refinement.

In this study, researchers identified a gene expression pre-pattern and implicated the Wnt inhibitor Dickkopf 4 in the formation of color patterns in domestic cat embryos.

This article reviews the design and objectives of the Rotterdam Study, as well as summarizes major findings, without reporting new results.

A new method improves the isolation of hair follicle cells for better hair growth research.

This study found that Mueller Matrix microscopy can accurately identify, detect, and evaluate hair follicles in mouse skin tissue, suggesting its potential for skin structure research and dermatological applications.

In this study, a novel GAN-based image translation method focusing on regions of interest showed improved predictive performance for post-hair transplant images compared to existing methods, using an ensemble approach to enhance robustness and detection accuracy.

This study found that human C-tactile afferents respond to hair deflection, suggesting a functionally relevant anatomical relationship to hair follicles similar to that observed in mice.

In this study, the researchers reported that their novel algorithm for hair restoration in dermoscopy images achieved high accuracy and texture preservation, outperforming other techniques in diagnostic accuracy and texture quality measures.

This review examines the current state of automated vitiligo detection systems, noting a lack of large, diverse datasets and consistent imaging conditions, while comparing traditional and modern machine learning approaches to improve reliability and applicability.

This study developed a novel system that can automatically estimate hair loss parameters from images without expert input, reporting satisfactory results from testing on samples collected in Kolkata.

This study researched the dun coat color in Mongolian horses, finding that variations in TBX3 expression in different skin areas are linked to Bider markings, suggesting TBX3's role in this specific pigment pattern, while further investigation is needed on its regulation.

The researchers reported that certain physical characteristics of hair shafts, such as length and color, may influence mtDNA read counts and degradation state when analyzed by massively parallel sequencing.

This study reported that discarded squid ink was used to develop a high-performance, environmentally friendly hair dye that offers a stable deep black color, UV protection, and preserves hair structure, while showing excellent biosafety in lab tests.

This review examines the use of computer vision techniques, specifically deep learning architectures and image processing algorithms, for detecting and assessing skin conditions like vitiligo and dermatitis, and highlights the need for disease-specific datasets to improve automated diagnostic tools in dermatology.

This study presents a new approach to automatically remove hair artifacts from dermoscopic images, which reportedly performed well compared to existing methods like DullRazor using the PH2 datasets.

In this study, researchers found that ligand homodimerization controls the receptor binding specificity of the FGF9 subfamily, preventing off-target activation of FGFR "b" isoforms.

This article reviews the comprehensive approach needed for hair restoration in women, including preoperative evaluations, distinguishing scarring alopecias, and managing postoperative hair shock loss, but reports no new clinical findings.

This article reviews the generation of complex integument patterns through genetic, chemical, and environmental influences, with applications in tissue engineering, but reports no new experimental results.

This study found that Piezo2 channels are primarily located on sensory axon membranes in mechanosensory end organs, supporting a model where mechanical stimuli activate Aβ RA-LTMR neurons via axon protrusions.

This study found that young women with PCOS exhibited altered white matter microstructure and reduced cognitive performance compared to matched controls.

The researchers reported creating a Human Hair Atlas that maps over 1200 molecular species in hair, revealing up to 50% variation in metabolite and lipid levels along the hair's length, and identified 122 exposome-related compounds from personal care products.

This study observed that white hair can create an optical illusion of increased scalp visibility, potentially misleading clinical evaluations of hair loss and complicating hair transplantation planning, and identified five core dyeing strategies to address this phenomenon.

This review discusses the WNT signaling pathway's involvement in human diseases and highlights recent advances in WNT-related treatments, but it presents no new research findings.

This review discusses how stem and progenitor cells communicate to synchronize their differentiation responses, highlighting the challenges in identifying these mechanisms and surveying new technologies that may overcome these obstacles.